Literature DB >> 26587948

Ratio of Tumor to Normal Prostate Tissue Apparent Diffusion Coefficient as a Method for Quantifying DWI of the Prostate.

Tristan Barrett1, Andrew N Priest1, Edward M Lawrence1, Debra A Goldman2, Anne Y Warren3, Vincent J Gnanapragasam4,5, Evis Sala1,6, Ferdia A Gallagher1.   

Abstract

OBJECTIVE: The purpose of this study was to investigate the ability of the apparent diffusion coefficient (ADC) ratio of tumor to normal prostate tissue to overcome inherent variability based on choice of b values, with whole-mount histopathologic analysis as the reference standard for tumor identification.
MATERIALS AND METHODS: Thirty-nine patients with prostate cancer underwent 3-T MRI, including DWI with b values of 0, 150, 750, and 1000 s/mm(2). ADC maps were derived from four b value combinations. Histologically derived ROIs were defined for prostate tumor and benign prostate tissue to generate a ratio. The concordance correlation coefficient was used to evaluate agreement and reproducibility at different b values. Bland-Altman plots were used to evaluate the pattern of relative measurement difference between b value combinations. The relationship between ADC values and Gleason score was tested by Spearman rank correlation.
RESULTS: ADC values varied depending on the b value combination selected. The concordance correlation coefficient was higher for ADC ratios (0.883; 95% CI, 0.816-0.927) compared with absolute ADC values for normal tissue (0.873; 95% CI, 0.799-0.921) and tumor (0.792; 95% CI, 0.688-0.864). The ADC ratio concordance correlation coefficient for transition zone tumors was considerably higher than that for the peripheral zone in all cases. Bland-Altman analysis showed higher variation for ADC maps incorporating a b value of zero for both ratio and absolute values. There was a stronger inverse relationship to Gleason score for ADC ratios (rho, -0.354 to -0.456) compared with absolute ADC values (rho, -0.117 to -0.379).
CONCLUSION: The use of a simple ratio of prostate tumor ADC to normal tissue ADC improved the concordance between different b value combinations and could provide a more robust means of assessing restricted diffusion in the prostate.

Entities:  

Keywords:  DWI; Gleason score; MRI; prostate cancer

Mesh:

Year:  2015        PMID: 26587948     DOI: 10.2214/AJR.15.14338

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  12 in total

1.  Can Apparent Diffusion Coefficient Values Assist PI-RADS Version 2 DWI Scoring? A Correlation Study Using the PI-RADSv2 and International Society of Urological Pathology Systems.

Authors:  Sonia Gaur; Stephanie Harmon; Lauren Rosenblum; Matthew D Greer; Sherif Mehralivand; Mehmet Coskun; Maria J Merino; Bradford J Wood; Joanna H Shih; Peter A Pinto; Peter L Choyke; Baris Turkbey
Journal:  AJR Am J Roentgenol       Date:  2018-05-07       Impact factor: 3.959

2.  Utility of quantitative apparent diffusion coefficient measurements and normalized apparent diffusion coefficient ratios in the diagnosis of clinically significant peripheral zone prostate cancer.

Authors:  Tan B Nguyen; Alexander Ushinsky; Albert Yang; Michael Nguyentat; Sara Fardin; Edward Uchio; Chandana Lall; Thomas Lee; Roozbeh Houshyar
Journal:  Br J Radiol       Date:  2018-06-21       Impact factor: 3.039

3.  Diffusion-weighted imaging of the prostate: should we use quantitative metrics to better characterize focal lesions originating in the peripheral zone?

Authors:  Thibaut Pierre; Francois Cornud; Loïc Colléter; Frédéric Beuvon; Frantz Foissac; Nicolas B Delongchamps; Paul Legmann
Journal:  Eur Radiol       Date:  2017-11-22       Impact factor: 5.315

4.  Biparametric prostate MRI: impact of a deep learning-based software and of quantitative ADC values on the inter-reader agreement of experienced and inexperienced readers.

Authors:  Stefano Cipollari; Martina Pecoraro; Alì Forookhi; Ludovica Laschena; Marco Bicchetti; Emanuele Messina; Sara Lucciola; Carlo Catalano; Valeria Panebianco
Journal:  Radiol Med       Date:  2022-09-17       Impact factor: 6.313

5.  Effect of observation size and apparent diffusion coefficient (ADC) value in PI-RADS v2.1 assessment category 4 and 5 observations compared to adverse pathological outcomes.

Authors:  Jorge Abreu-Gomez; Daniel Walker; Tareq Alotaibi; Matthew D F McInnes; Trevor A Flood; Nicola Schieda
Journal:  Eur Radiol       Date:  2020-03-24       Impact factor: 5.315

Review 6.  Imaging quality and prostate MR: it is time to improve.

Authors:  Francesco Giganti; Clare Allen
Journal:  Br J Radiol       Date:  2020-11-11       Impact factor: 3.039

7.  Evaluation of Peripheral Zone Prostate Cancer Aggressiveness Using the Ratio of Diffusion Tensor Imaging Measures.

Authors:  Aslihan Onay; Gokhan Ertas; Metin Vural; Omer Acar; Yesim Saglican; Bilgen Coskun; Sergin Akpek
Journal:  Contrast Media Mol Imaging       Date:  2017-09-26       Impact factor: 3.161

8.  Diagnostic evaluation of magnetization transfer and diffusion kurtosis imaging for prostate cancer detection in a re-biopsy population.

Authors:  Tristan Barrett; Mary McLean; Andrew N Priest; Edward M Lawrence; Andrew J Patterson; Brendan C Koo; Ilse Patterson; Anne Y Warren; Andrew Doble; Vincent J Gnanapragasam; Christof Kastner; Ferdia A Gallagher
Journal:  Eur Radiol       Date:  2017-12-08       Impact factor: 5.315

9.  Correlation of apparent diffusion coefficient ratio on 3.0 T MRI with prostate cancer Gleason score.

Authors:  Rajeev Jyoti; Tarun Pankaj Jain; Hodo Haxhimolla; Heath Liddell; Sean Edward Barrett
Journal:  Eur J Radiol Open       Date:  2018-03-30

10.  Multiparametric MRI - local staging of prostate cancer and beyond.

Authors:  Iztok Caglic; Viljem Kovac; Tristan Barrett
Journal:  Radiol Oncol       Date:  2019-05-08       Impact factor: 2.991

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